DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AlaSQL vs. Amazon Redshift vs. Google Cloud Firestore vs. Machbase Neo vs. MaxDB

System Properties Comparison AlaSQL vs. Amazon Redshift vs. Google Cloud Firestore vs. Machbase Neo vs. MaxDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparison
DescriptionJavaScript DBMS libraryLarge scale data warehouse service for use with business intelligence toolsCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.TimeSeries DBMS for AIoT and BigDataA robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websitealasql.orgaws.amazon.com/­redshiftfirebase.google.com/­products/­firestoremachbase.commaxdb.sap.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.aws.amazon.com/­redshiftfirebase.google.com/­docs/­firestoremachbase.com/­dbmsmaxdb.sap.com/­documentation
DeveloperAndrey Gershun & Mathias R. WulffAmazon (based on PostgreSQL)GoogleMachbaseSAP, acquired from Software AG (Adabas-D) in 1997
Initial release20142012201720131984
Current releaseV8.0, August 20237.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercialcommercial infofree test version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptCCC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedhostedLinux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononono
Secondary indexesnorestrictedyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes infodoes not fully support an SQL-standardnoSQL-like query languageyes
APIs and other access methodsJavaScript APIJDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBCGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonyes, Firebase Rules & Cloud Functionsnoyes
Triggersyesnoyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replicationselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovolatile and lookup tableno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.simple password-based access controlfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AlaSQLAmazon RedshiftGoogle Cloud FirestoreMachbase Neo infoFormer name was InfinifluxMaxDB infoformerly named Adabas-D
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

Create a Marvel Database with SQL and Javascript, the easy way
2 July 2019, Towards Data Science

HarperDB - How and Why We Built It From The Ground Up on NodeJS
28 February 2021, hackernoon.com

Multi faceted data exploration in the browser using Leaflet and amCharts
3 May 2020, Towards Data Science

provided by Google News

Revolutionizing data querying: Amazon Redshift and Visual Studio Code integration | Amazon Web Services
2 May 2024, AWS Blog

Amazon Redshift adds new AI capabilities, including Amazon Q, to boost efficiency and productivity | Amazon Web ...
29 November 2023, AWS Blog

Power analytics as a service capabilities using Amazon Redshift | Amazon Web Services
17 April 2024, AWS Blog

Amazon Redshift now supports multi-data warehouse writes through data sharing (preview)
26 November 2023, AWS Blog

Amazon Redshift announces programmatic access to Advisor recommendations via API
8 February 2024, AWS Blog

provided by Google News

Realtime vs Cloud Firestore: Which Firebase Database to go?
8 March 2024, Appinventiv

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Google's Cloud Firestore is now generally available
31 January 2019, ZDNet

Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

Google Cloud adds vector support to all its database offerings
29 February 2024, InfoWorld

provided by Google News

“Luxembourg is a perfect target area”: Korean accelerator exec
27 October 2022, Delano.lu

provided by Google News

SAP Content Server High Availability using Amazon EFS and SUSE | Amazon Web Services
30 December 2020, AWS Blog

SAP Aligns Mainstream Maintenance Commitments Across Its Enterprise Solutions
11 August 2020, SAP News

SIOS looks to boost SAP HANA automated replication
29 March 2023, TechTarget

Remotely Exploitable Vulnerabilities in SAP Compression Algorithms
13 May 2015, Threatpost

Your SAP HANA Cheat Sheet: Milestones, Terms and More
14 May 2012, SiliconANGLE News

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here